Safe AI Infrastructure
ops0 sits between a user intent and real cloud infrastructure. It uses discovery, generated IaC, policy checks, Git review, approval gates, audit evidence, and drift monitoring so AI can accelerate infrastructure work without bypassing security and compliance.
Live discovery before generation
Resource Graph dependency context
Policy and compliance gates
Cost checks before deployment
GitHub and GitLab review paths
Human approval for risky changes
Sensitive data controls before AI use
Audit logs and report evidence
Drift detection after deployment
The safety path
ops0 does not treat a prompt as enough information to change cloud infrastructure. Discovery, Resource Graph, project metadata, existing IaC, and ownership context help define what the user is asking for and what already exists.
The output is infrastructure code and configuration that teams can inspect. Terraform, OpenTofu, Oxid, Ansible, Kubernetes manifests, and generated assets can move through the same review paths teams already trust.
Security and compliance checks are part of the deployment path. OPA/Rego rules, framework controls, cost estimation, and project policy context can block or warn before a risky change reaches production.
Risky, production-impacting, costly, or policy-sensitive changes can be routed through GitHub, GitLab, pull requests, and explicit approvals instead of being silently applied.
Deployments, policy results, approval decisions, sync status, compliance scans, and report access are recorded so security and compliance teams can review what happened later.
After deployment, ops0 continues watching for drift, compliance gaps, Kubernetes incidents, and resource changes so the system does not stop being safe once the code is merged.
What ops0 will not make invisible
ops0 is designed so generated infrastructure can be reviewed, versioned, checked, approved, deployed, and audited. The platform is not trying to hide code generation behind a chat interface or skip the systems teams already use for production trust.
The safer model is explicit: discover real cloud state, generate code with context, check policy before deployment, require review when risk is high, and keep watching production after the change lands.
Direct answers
ops0 translates intent into reviewable infrastructure code, uses live discovery context, checks policy and cost, routes risky changes through Git and approval, records evidence, and monitors drift after deployment.
Plan, Policy, Cost, Approval, Audit, and Apply. Policy includes security rules, organizational compliance policies, cloud standards, and environment guardrails. Apply runs only after the prior five gates pass.
No. ops0 is built around governed workflows. Production-impacting, costly, or policy-sensitive changes go through Plan, Policy, Cost, Approval, Audit, and Apply gates before any resource changes.
ops0 grounds generation in discovered infrastructure, injects policy and project context, syncs code to review workflows, checks compliance and cost before deployment, and keeps an audit trail of decisions.
ops0 continues monitoring live infrastructure for drift, compliance gaps, incidents, and operational changes so deployed infrastructure remains reviewable.
